Data Governance Engineer

• We are seeking a Data Governance Engineer to join our UAE Technology Offshoring Team.

The Ideal candidate will be responsible for the below:

• Data Modeling with a strong understanding of data warehouse (DWH) concepts, data issues’ validation, and data mesh architecture and Star Schema
• The ideal candidate should have hands-on experience with cloud platforms like Azure and Databricks, as well as data catalogue tools.
• They should also be proficient in data quality tools and familiar with basic data engineering concepts, including data pipelines, ETL processes, and data lineage tracking.
• Additionally, this role requires strong English and communication skills, as it involves working with diverse cultures and nationalities.
• The candidate should be comfortable collaborating with cross-functional teams in an agile environment, documenting processes, and engaging with stakeholders across different domains.
• Implement and maintain data governance frameworks, policies, and standards.
• Ensure high-quality data management across DWH models and data sources.
• Develop and execute data quality rules, validation processes, and monitoring frameworks.
• Identify and resolve data quality issues in collaboration with business and operation teams.
• Work with data quality tools to automate data validation and cleansing processes.
• Support the design and governance of data warehouse (DWH) models based on business requirements.
• Ensure data consistency and integrity across structured and semi-structured datasets.
• Collaborate with data architects and engineers to optimize DWH performance.
• Work with Data Mesh architecture to enable decentralized data ownership and governance.
• Utilize Databricks for Quality & Analytics.
• Understand ETL (Extract, Transform, Load) and ELT concepts for data ingestion pipelines.
• Support the development and governance of data pipelines using tools like Databricks or Apache Spark.
• Implement data lineage tracking to ensure data transparency and traceability across pipelines.
• Identification, classification, and protection of PII and sensitive data.
• Ensure compliance with data privacy regulations such as GDPR, CCPA, and local policies.
• Maintain data lineage and governance documentation.
• Work in an agile environment using the squad model.
• Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders.
• Participate in sprint planning, backlog grooming, and agile ceremonies.
• Work with teams across different cultures and nationalities to align data governance strategies.
• Clearly communicate technical and governance concepts to both technical and non-technical stakeholders.
• Facilitate discussions, workshops, and training sessions to promote data governance best practices.